Main
Robert Pikmets
robertpikmets@gmail.com linkedin.com/in/robert-pikmets github.com/robertpikmets +372 5332 7319
Education
MSc Actuarial and Financial Engineering, cum laude
University of Tartu
Tartu, Estonia
2021 - 2019
- Relevant subjects include Machine Learning, Mathematical Statistics, Time Series Analysis, Introduction to Databases, Generalized Linear Models, Seminar in Statistical Learning, Data Munging and Visualisation
- For my master’s thesis, I processed 10M+ rows of data and developed LASSO models with 100+ features based on a rolling window training algorithm (https://hdl.handle.net/10062/72876)
BSc Accounting and Finance
University of Warwick
Coventry, United Kingdom
2019 - 2016
Work Experience
Analyst
Eesti Energia
Tallinn, Estonia
Present - 2020
- Daily tasks involve developing regression models and forecasting, automating data collection with R, data analysis and visualisation and solving some of the most crucial problems in modelling renewable energy
- Automated a time-critical business process by creating an XML file generator and implementing automatic scheduling with Python, resulting in several hours of reduced labour each day and significant financial gains for Eesti Energia
- Developed an optimisation and pricing model in MATLAB for the entire Baltic-Finnish natural gas market
Credit analyst internship
LHV Pank
Tallinn, Estonia
2018
- Conducted in-depth analysis of large firms, commercial real estate projects and residential property developments
- My responsibilities included financial modelling and creating future projections, evaluation of business activity and financial accounts, establishing a credit rating
Extracurricular activities
Personal blog on data science projects
N/A
2021
- Tackled a credit approval classification problem with logistic regression and random forest algorithm
- Developed a predictive model for electricity price time series with complex seasonal patterns
- Collected data on chess games through API and predicted my own chess games’ outcome
Executive member and chess team captain
University of Warwick Chess Society
Coventry, United Kingdom
2019 - 2018
- Largest British university chess society and elected as English Chess Federation’s Club of the Year 2019
- My main responsibilities were organising several chess tournaments hosting 70+ players, composing teams for weekly competitive league matches and running weekly chess club nights for students
Skills
- Languages - R, Python, SQL, VBA, MATLAB
- Machine learning and modelling - Regression, classification, clustering, deep learning, feature engineering, regularization methods, time series models. Experience with Skicit-learn, Keras, Tensorflow.
- Data analysis - Retrieving data with SQL, pre-processing and manipulation (dplyr in R and pandas in Python), visualisation and presenting using ggplot2 and RMarkdown (even this CV is automated with R and R Markdown)
- Statistics - Statistical inference, descriptive statistics, hypothesis testing